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Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks
Research article (The European Physical Journal Special Topics, 2024) · cited 53× · AI/ML
Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks
Summary
Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks is a scholarly article[1].
Key Facts
Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks. Retrieved May 24, 2026, from https://4ort.xyz/entity/searches-for-the-bsm-scenarios-at-the-lhc-using-decision-tree-based-machine-learning-algorithms-a-comparative-study-and-
MLA“Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/searches-for-the-bsm-scenarios-at-the-lhc-using-decision-tree-based-machine-learning-algorithms-a-comparative-study-and-.
BibTeX@misc{4ortxyz_searches-for-the-bsm-scenarios-at-the-lhc-using-decision-tree-based-machine-learning-algorithms-a-comparative-study-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks}}, year = {2026}, url = {https://4ort.xyz/entity/searches-for-the-bsm-scenarios-at-the-lhc-using-decision-tree-based-machine-learning-algorithms-a-comparative-study-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks — https://4ort.xyz/entity/searches-for-the-bsm-scenarios-at-the-lhc-using-decision-tree-based-machine-learning-algorithms-a-comparative-study-and- (retrieved 2026-05-24)
